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Record W3176833796 · doi:10.32370/ia_2021_06_6

System Model of Professional Development Process

2021· article· en· W3176833796 on OpenAlexvenueno aff
Partyka Partyka

Bibliographic record

VenueIntellectual Archive · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnterprise Management and Information Systems
Canadian institutionsnot available
Fundersnot available
KeywordsProfessional developmentProcess (computing)Plan (archaeology)Professional studiesDevelopment planStaff managementProcess managementEngineering managementMedical educationKnowledge managementBusinessComputer scienceMedicineManagementEngineering

Abstract

fetched live from OpenAlex

System approach to management professional development organization is explored in the article. The importance and urgency of the problem of personnel development of a modern organization in a competitive environment is proved. The professional development of personnel as a component of personnel management and a means of increasing the competitiveness of the organization is considered. Different views of scientists on the definition of personnel development, professional development and personnel development system have been clarified.The tasks of professional development of personnel are outlined. System model of professional development process has been developed. The elements of the developed model are characterized, namely:development of professional staff development strategy;setting goals and objectives for professional development of staff; organization of professional development process; diagnosing the needs of professional development of staff; drawing up a plan for professional development of staff;budgeting professional development; determining areas of staff training; definition of methods and forms of teaching; implementation of the staff training process and evaluation of the effectiveness of professional staff training.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0170.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.232
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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